368 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData" positions at University of Pittsburgh
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Adjunct Instructor SHRS-Rehab Sci & Tech - Pennsylvania-Pittsburgh - (25006732) The Department of Rehabilitation Science and Technology is seeking an adjunct instructor to teach two foundational
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The Academic Advisor must be able to use a computer and keyboard, and be able to use video communication technology (Skype, Zoom, Teams, etc.). Work is frequently conducted by email, telephone, in-person
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inputs a variety of data into a computer, detecting and correcting errors. Verifies others' work. Prepares reports and data visualizations for analysis. Resolves issues as needed. Essential Functions
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Faculty.Instructor.Visiting Chem/Petroleum Engineering - Pennsylvania-Pittsburgh - (26000701) The Department of Chemical and Petroleum Engineering Department is looking to hire a Visiting Instructor
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operations The successful candidate must consistently demonstrate positive interpersonal and customer service skills; be proficient with technology in order to use common applications (e.g. email, Microsoft
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to appoint an Assistant Professor in the Tenure Stream. Candidates with strong research training and accomplishments in systems and computational immunology and/or synthetic biology and immune engineering will
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diasporic communities Science and technology studies Health humanities Successful candidates must merit appointment as a Full Professor (though they may currently be an Associate Professor) and have
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Tower 3. We currently have twelve faculty members working in the fields of cryo-electron microscopy, NMR spectroscopy, X-ray crystallography, and biochemistry. For the Chair's Assistant / Graduate Program
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Associate HCM Solutions Analyst HCM Solutions - Pennsylvania-Pittsburgh - (25006554) Looking to start your career in HR technology? This might be the perfect opportunity for you! If you're excited
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to ensuring the accuracy, reliability, and usability of our data pipelines. You will work closely with data engineers and developers to evaluate datasets, test ETL processes, and work with business teams to